Section 3.4 Cross Product.

Slides:



Advertisements
Similar presentations
11.4 The Cross product For an animation of this topic visit:
Advertisements

Geometry of R2 and R3 Dot and Cross Products.
12 VECTORS AND THE GEOMETRY OF SPACE.
10.4 Cross product: a vector orthogonal to two given vectors Cross product of two vectors in space (area of parallelogram) Triple Scalar product (volume.
Chapter 12 – Vectors and the Geometry of Space 12.4 The Cross Product 1.
The Vector or Cross Product Lecture V1.3 Example 5 Moodle.
Vector Products (Cross Product). Torque F r T F r T F1F1 F2F2.
Analytic Geometry in Three Dimensions
The Cross Product of 2 Vectors 11.3 JMerrill, 2010.
11 Analytic Geometry in Three Dimensions
The Cross Product of Two Vectors In Space Section
Precalculus – MAT 129 Instructor: Rachel Graham Location: BETTS Rm. 107 Time: 8 – 11:20 a.m. MWF.
Vectors and the Geometry of Space
Vectors and the Geometry of Space Copyright © Cengage Learning. All rights reserved.
The Cross Product Third Type of Multiplying Vectors.
Section 13.4 The Cross Product.
Section 9.4: The Cross Product Practice HW from Stewart Textbook (not to hand in) p. 664 # 1, 7-17.
Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.
6.3 Cramer’s Rule and Geometric Interpretations of a Determinant
Vectors and the Geometry of Space 11 Copyright © Cengage Learning. All rights reserved.
Vectors in 2-Space and 3-Space II
1.1 – 1.2 The Geometry and Algebra of Vectors.  Quantities that have magnitude but not direction are called scalars. Ex: Area, volume, temperature, time,
Section 13.4 The Cross Product. Torque Torque is a measure of how much a force acting on an object causes that object to rotate –The object rotates around.
Properties of Vector Operations: u, v, w are vectors. a, b are scalars. 0 is the zero vector. 0 is a scalar zero. 1. u + v = v + u 2. (u + v) + w = u +
Vectors Vectors are represented by a directed line segment its length representing the magnitude and an arrow indicating the direction A B or u u This.
Vectors CHAPTER 7. Ch7_2 Contents  7.1 Vectors in 2-Space 7.1 Vectors in 2-Space  7.2 Vectors in 3-Space 7.2 Vectors in 3-Space  7.3 Dot Product 7.3.
Review Lecture. The following topics would be covered in the finale exam 1.Lines in the plane 2.The second order curves  Ellipse  Hyperbola  Parabola.
Vector Products (Cross Product). Torque F r T.
Copyright © Cengage Learning. All rights reserved. 12 Vectors and the Geometry of Space.
VECTORS (Ch. 12) Vectors in the plane Definition: A vector v in the Cartesian plane is an ordered pair of real numbers:  a,b . We write v =  a,b  and.
Copyright © Cengage Learning. All rights reserved.
Section 11.4 The Cross Product Calculus III September 22, 2009 Berkley High School.
1. Determine vectors and scalars from these following quantities: weight, specific heat, density, volume, speed, calories, momentum, energy, distance.
Sec 13.3The Dot Product Definition: The dot product is sometimes called the scalar product or the inner product of two vectors.
Copyright © Cengage Learning. All rights reserved. Vectors in Two and Three Dimensions.
VECTORS AND THE GEOMETRY OF SPACE 12. PLANES Thus, a plane in space is determined by:  A point P 0 (x 0, y 0, z 0 ) in the plane  A vector n that is.
Vectors and the Geometry
VECTORS AND THE GEOMETRY OF SPACE. The Cross Product In this section, we will learn about: Cross products of vectors and their applications. VECTORS AND.
Section 12.3 The Dot Product
Copyright © Cengage Learning. All rights reserved. 11 Analytic Geometry in Three Dimensions.
Specialist Mathematics Vectors and Geometry Week 3.
Discrete Math Section 12.4 Define and apply the dot product of vectors Consider the vector equations; (x,y) = (1,4) + t its slope is 3/2 (x,y) = (-2,5)
Section 3.3 Dot Product; Projections. THE DOT PRODUCT If u and v are vectors in 2- or 3-space and θ is the angle between u and v, then the dot product.
11.3 The Cross Product of Two Vectors. Cross product A vector in space that is orthogonal to two given vectors If u=u 1 i+u 2 j+u 3 k and v=v 1 i+v 2.
The Cross Product. We have two ways to multiply two vectors. One way is the scalar or dot product. The other way is called the vector product or cross.
CHAPTER 3 VECTORS NHAA/IMK/UNIMAP.
Section 6.1 Inner Products.
Dot Product of Vectors.
Application of Vector product
The Cross Product: Objectives
Elementary Linear Algebra
2 Vectors In 2-space And 3-space
Contents 7.1 Vectors in 2-Space 7.2 Vectors in 3-Space 7.3 Dot Product
6.2 Dot Products of Vectors
Law of sines Law of cosines Page 326, Textbook section 6.1
Lecture 03: Linear Algebra
Vector Calculus – Part 1 By Dr. Samer Awad
By the end of Week 2: You would learn how to plot equations in 2 variables in 3-space and how to describe and manipulate with vectors. These are just.
Vectors in The R2 and R3 Sub Chapter : Terminology
C H A P T E R 3 Vectors in 2-Space and 3-Space
Vector Products (Cross Product)
Vectors and the Geometry
The Cross Product.
Mathematics.
Vectors in The R2 and R3 Sub Chapter : Terminology
11 Vectors and the Geometry of Space
Homework Questions!.
Dots and Cross Products of Vectors in Space
2 Vectors in 2-space and 3-space
CHAPTER 3 VECTORS NHAA/IMK/UNIMAP.
Presentation transcript:

Section 3.4 Cross Product

u × v = (u2v3 − u3v2, u3v1 − u1v3, u1v2 − u2v1) THE CROSS PRODUCT If u = (u1, u2, u3) and v = (v1, v2, v3) are vectors in 3-space, then the cross product or u × v is defined by u × v = (u2v3 − u3v2, u3v1 − u1v3, u1v2 − u2v1) or in determinant notation,

STANDARD UNIT VECTORS The standard unit vectors in 3-space are the vectors i = (1, 0, 0), j =(0, 1, 0), k = (0, 0, 1). Each of these vectors have length 1 unit and lie on the coordinate axes.

COMMENTS ON STANDARD UNIT VECTORS 1. Every vector in 3-space can be expressed in terms of the standard unit vectors: v = (v1, v2, v3) = v1i + v2j + v3k 2.

DETERMINANT FORM OF THE CROSS PRODUCT If u = (u1, u2, u3) and v = (v1, v2, v3), then

RELATIONSHIPS INVOLVING CROSS PRODUCT AND DOT PRODUCT Theorem 3.4.1: If u, v, and w are vectors in 3-space, then (a) u ∙ (u × v) = 0 (u × v is orthogonal to u) (b) v ∙ (u × v) = 0 (u × v is orthogonal to v) (c) ||u × v||2 = ||u||2 ||v||2 − (u ∙ v)2 (Lagrange’s identity) (d) u × (v × w) = (u ∙ w) v − (u ∙ v) w (e) (u × v) × w = (u ∙ w) v − (v ∙ w) u

PROPERTIES OF THE CROSS PRODUCT Theorem 3.4.2: If u, v, and w are any vectors in 3-space and k is a scalar, then (a) u × v = −(v × u) (b) u × (v + w) = (u × v) + (u × w) (c) (u + v) × w = (u × w) + (v × w) (d) k(u × w) = (ku) × w = u × (kw) (e) u × 0 = 0 × u = 0 (f) u × u = 0

AREA OF A PARALLELOGRAM Theorem 3.4.3: If u and v are vectors in 3-space, then || u × v || is equal to the area of the parallelogram determined by u and v.

THE SCALAR TRIPLE PRODUCT If u, v and w are vectors in 3-space, then the scalar triple product of u, v, and w is defined by u · (v × w).

COMMENTS ON THE TRIPLE SCALAR PRODUCT 1. If u = (u1, u2, u3), v = (v1, v2, v3) and w = (w1, w2, w3), the triple scalar product can be calculated by the formula 2. u · (v × w) = w · (u × v) = v · (w × u)

GEOMETRIC INTERPRETATION OF DETERMINANTS Theorem 3.4.4: Part (a) The area of the parallelogram in 2-space determined by the vectors u = (u1, u2) and v = (v1, v2) is given by

GEO. INTERPRETATION OF DET. (CONCLUDED) Theorem 3.4.4: Part (b) The volume of the parallelepiped in 3-space determined by the vectors u = (u1, u2, u3), v = (v1, v2, v3), and w = (w1, w2, w3) is given by

VECTORS IN THE SAME PLANE Theorem 3.4.5: If the vectors u = (u1, u2, u3), v = (v1, v2, v3), and w = (w1, w2, w3) have the same initial point, then they lie in the same plane if and only if